ICBDT 2027·成都 | 2027年第九届大数据技术国际会议

Call for Papers

 |  Topics of interest for submission include, but not limited to:

Track 1: Big Data Infrastructure and Platform Technologies
1Big Data Architecture and Infrastructure
2Distributed File Systems for Big Data Storage
3Cloud-based Big Data Infrastructure Optimization
4Big Data Computing Frameworks and Scheduling Optimization
5Containerized Big Data Platform Technologies
6Serverless-based Big Data Platforms
7Edge-Cloud Collaborative Big Data Platforms
8Big Data Platform Performance Monitoring and Tuning
9Lightweight Big Data Platform Design and Implementation
10Big Data Platforms in Heterogeneous Computing Environments
Track 2: Big Data Acquisition and Preprocessing Technologies
1Multi-source Heterogeneous Data Acquisition Technologies
2High-Throughput Real-time Data Stream Acquisition and Processing
3Big Data Cleaning and Deduplication Technologies
4Data Integration and Fusion Methods
5Edge Device Big Data Acquisition Technologies
6Change Data Capture and Incremental Data Integration
7Data Quality Assessment and Automated Repair
8Multimodal Data Parsing and Structuring
9Privacy-Preserving Data Collection and Data Minimization
10LLM-Assisted Data Preparation and Transformation
Track 3: Big Data Storage and Management Technologies
1Distributed Databases and Storage Technologies
2Big Data Lake and Data Warehouse Design
3Time-Series Big Data Storage and Indexing Technologies
4Hot-Cold Data Tiered Storage Strategies
5Big Data Storage Fault Tolerance and Recovery
6Intelligent Data Storage Tiering Technologies
7Vector Data Management and Efficient Similarity Search
8Non-Volatile Memory Big Data Storage
9Big Data Storage Compression Optimization Technologies
10Data Lineage, Metadata Management, and Trustworthy Data Governance
Track 4: Big Data Computing and Analytics Technologies
1Distributed Big Data Computing Technologies
2Big Data Stream Computing and Real-Time Analytics
3Offline Big Data Batch Processing Optimization
4Big Data Correlation Analysis and Mining
5Big Data Statistical Analysis Methods
6Quantum-Enhanced Big Data Computing
7In-Memory Computing and Big Data Acceleration
8Big Data Incremental Computing Technologies
9Federated Computing and Cross-Domain Data Analytics
10Big Data Visual Analytics Tools
Track 5: Big Data Intelligence and AI Fusion Technologies
1Big Data-Driven Machine Learning Algorithms
2Deep Learning Applications in Big Data
3Big Data Feature Engineering and Selection
4Big Data Classification and Prediction Models
5Reinforcement Learning and Big Data Optimization
6Generative AI and Big Data Generation
7Large Language Models and Big Data Understanding
8Weakly Supervised and Few-Shot Learning for Big Data
9Explainable AI and Big Data Decision Making
10AI-Driven Big Data Anomaly Detection
Track 6: Big Data Security and Privacy Protection Technologies
1Big Data Encryption and Decryption Technologies
2Big Data Privacy Protection Algorithms
3Big Data Access Control and Authentication
4Big Data Leakage Detection and Traceability
5Differential Privacy and Big Data Publishing
6Homomorphic Encryption and Big Data Computing Security
7Federated Learning and Privacy-Preserving Computing
8Blockchain and Big Data Security Enhancement
9Big Data Security Situation Awareness
10Security and Privacy-Enhancing Technologies for Cross-Border Data Flows
Track 7: Domain-Specific Big Data Applications
1Financial Big Data Analysis and Applications
2Medical and Healthcare Big Data Technologies
3Transportation Big Data and Intelligent Transportation
4E-Commerce Big Data and Precision Marketing
5Educational Big Data and Personalized Learning
6Industrial Big Data and Smart Manufacturing
7Energy Big Data and Smart Energy
8Urban Big Data and Smart Cities
9Agricultural Big Data and Smart Agriculture
10Media Big Data and Content Recommendation